Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
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Author to whom correspondence should be addressed.
Academic Editor: Fabrizio Lamberti
Sensors 2015, 15(12), 30385-30402; https://doi.org/10.3390/s151229804
Received: 27 August 2015
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Revised: 26 November 2015
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Accepted: 29 November 2015
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Published: 4 December 2015
(This article belongs to the Section Remote Sensors)
Knowledge of the clutter rate is of critical importance in multi-target Bayesian tracking. However, estimating the clutter rate is a difficult problem in practice. In this paper, an improved multi-Bernoulli filter based on random finite sets for multi-target Bayesian tracking accommodating non-linear dynamic and measurement models, as well as unknown clutter rate, is proposed for radar sensors. The proposed filter incorporates the amplitude information into the state and measurement spaces to improve discrimination between actual targets and clutters, while adaptively generating the new-born object random finite sets using the measurements to eliminate reliance on prior random finite sets. A sequential Monte-Carlo implementation of the proposed filter is presented, and simulations are used to demonstrate the proposed filter’s improvements in estimation accuracy of the target number and corresponding multi-target states, as well as the clutter rate.
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Keywords:
multi-Bernoulli filter; random finite set; multi-target tracking; amplitude information; clutter rate estimation; sequential Monte-Carlo
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MDPI and ACS Style
Yuan, C.; Wang, J.; Lei, P.; Bi, Y.; Sun, Z. Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate. Sensors 2015, 15, 30385-30402. https://doi.org/10.3390/s151229804
AMA Style
Yuan C, Wang J, Lei P, Bi Y, Sun Z. Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate. Sensors. 2015; 15(12):30385-30402. https://doi.org/10.3390/s151229804
Chicago/Turabian StyleYuan, Changshun, Jun Wang, Peng Lei, Yanxian Bi, and Zhongsheng Sun. 2015. "Multi-Target Tracking Based on Multi-Bernoulli Filter with Amplitude for Unknown Clutter Rate" Sensors 15, no. 12: 30385-30402. https://doi.org/10.3390/s151229804
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